18.6 Convergence in Measure

Definition 18.6.1 (Convergence in Measure). Let $(X, \cm, \mu)$ be a measure space, $(Y, d)$ be a metric space, and $\seq{f_n}$ and $f$ be Borel measurable functions from $X$ to $Y$, then $f_{n} \to f$ in measure if for every $\eps > 0$,

\[\lim_{n \to \infty}\mu(\bracs{d(f_n, f) > \eps}) = 0\]

Definition 18.6.2 (Cauchy in Measure). Let $(X, \cm, \mu)$ be a measure space, $(Y, d)$ be a metric space, and $\seq{f_n}$ be Borel measurable functions from $X$ to $Y$, then $\seq{f_n}$ is Cauchy in measure if for every $\eps > 0$,

\[\mu(\bracs{d(f_m, f_n) > \eps}) \to 0 \quad \text{as}\ m, n \to \infty\]

Lemma 18.6.3. Let $(X, \cm, \mu)$ be a finite measure space, $(Y, d)$ be a metric space, and $\seq{f_n}$ and $f$ be Borel measurable functions from $X$ to $Y$ such that $f_{n} \to f$ almost everywhere, then $f_{n} \to f$ in measure.

Proof. Let $\eps > 0$, then for almost every $x \in X$, there exists $N \in \natp$ such that $d(f_{n}(x), f(x)) < \eps$ for all $n \ge N$, so

\[\mu\paren{\bigcup_{N \in \natp}\bigcap_{n \ge N}\bracs{d(f_n, f) < \eps}}= \mu(X)\]

By continuity from above (Proposition 15.1.5),

\[\limv{N}\mu{\bracs{d(f_N, f) \ge \eps}}\le \limv{N}\mu\paren{\bigcup_{n \ge N}\bracs{d(f_n, f) \ge \eps}}= 0\]
$\square$

Proposition 18.6.4. Let $(X, \cm, \mu)$ be a measure space, $(Y, d)$ be a complete metric space, and $\seq{f_n}$ be Borel measurable functions from $X \to Y$, then:

  1. There exists a Borel measurable function $f: X \to Y$ such that $f_{n} \to f$ in measure.

  2. There exists a subsequence $\seq{n_k}$ such that $f_{n_k}\to f$ almost everywhere.

  3. For any Borel measurable function $g: X \to Y$ such that $f_{n} \to g$ in measure, $f = g$ almost everywhere.

Proof. (2): Since $\seq{f_n}$ is Cauchy in measure, there exists a subsequence $\seq{n_k}$ such that for each $k \in \natp$, $\mu(\bracsn{d(f_{n_k}, f_{n_{k+1}}) > 2^{-k}}) \le 2^{-k}$.

In this case, for any $K \in \natp$ and $j \ge k \ge K$,

\[\bracsn{d(f_{n_j}, f_{n_k}) > 2^{-K+1}}\subset \bigcup_{\ell = k}^{j - 1}\bracsn{d(f_{n_\ell}, f_{n_{\ell + 1}}) > 2^{-\ell}}\subset \bigcup_{\ell = K}^{\infty}\bracsn{d(f_{n_\ell}, f_{n_{\ell + 1}}) > 2^{-\ell}}\]

By monotonicity and subadditivity (Proposition 15.1.5),

\[\mu\paren{\bigcup_{j, k \ge K}\bracsn{d(f_{n_j}, f_{n_k}) > 2^{-K+1}}}\le \sum_{\ell \ge K}\mu\bracsn{d(f_{n_\ell}, f_{n_{\ell + 1}}) > 2^{-\ell}}\le 2^{-K+1}\]

so

\[\mu\braks{\paren{\bigcap_{j, k \ge K}\bracsn{d(f_{n_j}, f_{n_k}) \le 2^{-K+1}}}^c}\le 2^{-K+1}\]

By the First Borel-Cantelli Lemma,

\[\mu\braks{\limsup_{K \to \infty}\paren{\bigcap_{j, k \ge K}\bracsn{d(f_{n_j}, f_{n_k}) \le 2^{-K+1}}}^c}= 0\]

Thus, for almost every $x \in X$, there exists $K \in \natp$ such that $d(f_{n_j}(x), f_{n_k}(x)) < 2^{-K+1}$ for all $j, k \ge K$. Therefore $\seq{f_n(x)}$ is Cauchy for almost every $x$, and converges to a Borel measurable function $f: X \to Y$.

(1): Let $\eps, \delta > 0$, then there exists $N \in \natp$ such that $\mu(\bracs{d(f_m, f_n) > \delta/2}) < \eps/2$ for all $m, n \ge N$. Let $k \in \natp$ such that $n_{k} \ge N$ and $\mu(\bracs{d(f, f_{n_k}) > \delta/2}) < \eps/2$, then for any $m \ge N$,

\[\mu\bracs{d(f_m, f) > \delta}\le \mu\bracs{d(f_m, f_{n_k}) > \delta/2}+ \mu\bracs{d(f, f_{n_k}) > \delta/2}< \eps\]

(3): By (2), there exists a subsequence $\seq{n_k}$ such that $f_{n_k}\to f$ and $f_{n_k}\to g$ almost everywhere, so $f = g$ almost everywhere.$\square$